Abstract
In modern electricity markets, reducing operational costs while improving reliability is a primary concern for power system operators. However, Nigeria's aging power transmission network remains vulnerable, necessitating the implementation of optimal maintenance strategies to enhance system reliability. This study introduces a method for mitigating degradation in transmission components through condition-based maintenance, using a hybrid approach that combines the nonhomogeneous continuous time Markov chain (NHCTMC) for system state detection and the differential evolution (DE) algorithm for optimizing maintenance actions. The method is tested on a substation transmission network under various maintenance scenarios. Results indicate a significant improvement in system reliability (90.3%) and an efficient condition-based maintenance strategy achieving 91.3% power delivery. This approach offers promising potential for enhancing the power delivery capacity of the network.
| Original language | English |
|---|---|
| Article number | 012013 |
| Journal | IOP Conference Series: Earth and Environmental Science |
| Volume | 1492 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 8th International Conference on Science and Sustainable Development, ICSSD 2024 - Ota, Nigeria Duration: 13 Nov 2024 → 15 Nov 2024 |
Keywords
- condition-based maintenance
- differential evolution algorithm
- Markov chain
- nonhomogeneous
- Substation
ASJC Scopus subject areas
- General Environmental Science
- General Earth and Planetary Sciences